ABSTRACT

Purpose

Evaluating disparities in health care is an important aspect of understanding differences in disease risk. The purpose of this study is to describe the methodology for estimating such disparities, with application to a large multi-ethnic cohort study.

Methods

The Multi-Ethnic Study of Atherosclerosis includes 6814 participants aged 45–84 years free of cardiovascular disease. Prevalence ratio (PR) regression was used to model baseline lipid lowering medication (LLM) or anti-hypertensive medication use at baseline as a function of gender, race, risk factors, and estimated pre-treatment biomarker values.

Results

Hispanics and African Americans had lower prevalence of medication use than did non-Hispanic whites, even at the same risk factor profile. This became non-significant after adjusting for socioeconomic status. Although gender did not influence the prevalence of LLM use (PR = 1.09, 95%CI 0.95–1.25), there were differences in the association of diabetes and HDL with LLM use by gender. Men were significantly less likely to be on anti-hypertensive medications than women (PR = 0.86, 95%CI 0.80–0.92, p < 0.001), and this was not explained by risk factors or socioeconomic status. Lack of health insurance strongly influenced medication use, controlling for risk factors and other markers of socioeconomic status.